But, with over 40M users from around the world, collecting this type of explicit feedback might take a while. In a perfect world, we would interview each Hopper user and ask them specifically what they like about the app, and what they’d like us to change. We use all of this data in many ways - from improving our forecasts to building recommendation systems that help travelers find the perfect flight (in fact, more than 20% of our sales are driven by these recommendations: trips that users never asked for but the app knew to suggest) - all to better understand how we can make Hopper more valuable to our users. It is important to note that we do not distribute personal information. All this amounts to billions of data points on user behavior per month. We send around 1.5 million push notifications per day, and the average Hopper user launches the app once every six days. Requesting a “Watch” exposes users to notifications on price changes, flash sales, and alternative deals. Users set up 4.5 million “Watches” per month, telling Hopper which trip they’d ultimately like to book and trusting the app to monitor prices for them. We at Hopper have always appreciated the importance of collecting and analyzing user behavior data - and we have a lot of user behavior data.
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